Evidence map›Paper›PMID 40512267›Full record

ArticleAging clinical and experimental research2025

Association between metabolic score for insulin resistance and hypertension in middle-aged and older adults: a nationwide cross-sectional and longitudinal study.

Weicheng Lai, Lerui Wang, Xiao Chen, Shenshen Du, Yupeng Wu, Liangyan Wu, Huayang Qin, Xin Li, Liangxiu Wu, Boda Zhou

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Weicheng Lai *Department of Cardiology, Nanjing BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, 210019, Jiangsu, China.
Lerui Wang *Department of Cardiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, 168 Litang Road, Changping District, Beijing, 102218, China.
Xiao Chen *Department of Cardiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, 168 Litang Road, Changping District, Beijing, 102218, China.
Shenshen DuDepartment of Gastroenterology, Huanghe Sanmenxia Hospital, Henan, 472000, Sanmenxia, China.
Yupeng WuDepartment of Cardiology, Nanjing BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, 210019, Jiangsu, China.
Liangyan WuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Huayang QinDepartment of Gastroenterology, Huanghe Sanmenxia Hospital, Henan, 472000, Sanmenxia, China.
Xin LiDepartment of Cardiology, Nanjing BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, 210019, Jiangsu, China.
Liangxiu WuDepartment of Gastroenterology, The People's Hospital of Hezhou, Guangxi Zhuang Autonomous Region, Hezhou, 542800, China. 634675487@qq.com.
Boda ZhouDepartment of Cardiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, 168 Litang Road, Changping District, Beijing, 102218, China. zhouboda@tsinghua.edu.cn.

Funding

Elderly Health Research Project from the Jiangsu Provincial Health Commission LKM2023029High Level Public Health Technical Talents Construction Project from Beijing Municipal Health Commission 2024-3-034
6 · The paper itself

Abstract

introductionMetabolic score for insulin resistance (METS-IR) is a promising and reliable non-insulin-based method for assessing insulin resistance and cardiovascular disease risk. Through cross-sectional and longitudinal analyses, we evaluated the predictive ability of METS-IR for hypertension risk, aiming to provide a basis for early screening and intervention strategies to reduce hypertension-related complications.

methodsData were utilized from the China Health and Retirement Longitudinal Study (CHARLS), involving participants aged 45 and above with complete METS-IR and self-reported hypertension records. A combination of cross-sectional (waves 1 and 3) and longitudinal designs was used to track hypertension incidence, with 10,738 participants in the cross-sectional analysis and 6,788 participants in the longitudinal analysis. Data collection included health behaviors, physical measurements, and blood tests. METS-IR was calculated using a standardized formula, and hypertension was defined according to established criteria. Statistical analyses assessed associations, with a significance level set at p < 0.05.

resultsThe cross-sectional analysis, after adjusting for confounders, showed that each unit increase in METS-IR was associated with a threefold increase in the risk of hypertension (adjusted OR = 3.48, 95% CI: 2.87, 4.21, P < 0.0001). A significant nonlinear relationship between METS-IR and hypertension risk was observed, particularly beyond a value of 2.0, where the risk significantly increased. Subgroup analysis revealed that smoking and sex significantly affected this association. Longitudinal analysis demonstrated that each unit increase in METS-IR was significantly associated with increased hypertension incidence at 2 years (OR = 1.54, 95% CI: 1.09, 2.18, P < 0.05), 5 years (OR = 1.52, 95% CI: 1.17, 1.97, P < 0.05), and 7 years (OR = 1.71, 95% CI: 1.38, 2.12,, P < 0.0001), respectively.

conclusionUsing CHARLS data, we found that higher METS-IR independently predicts hypertension incidence and prevalence in Chinese older adults.

Indexed as

HypertensionInsulin ResistanceMetabolic SyndromeAgedChinaCross-Sectional StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsHypertensionIncidenceMets-IRPrevalence

Identifiers

PMID40512267
PMCPMC12166019

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.